Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 3.776 € Gross/Month
- Location
- Linz
- Working Model
- Onsite
Job Summary
In this role, you will develop interfaces for automating data exchange and implement end-to-end data pipelines for processing large datasets while collaborating closely with interdisciplinary teams.
Job Technologies
Your role in the team
- Design and development of interfaces for automating data exchange, integration of scientific models, and ensuring interoperability with clinical IT systems.
- Implementation and optimization of end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
- Optimization of data storage and retrieval with regard to performance and scalability.
- Building an MLOps infrastructure for deployment, monitoring, and versioning of machine learning models.
- Consulting and support for research projects from a Data Engineering perspective, including data processing in statistical and Machine Learning approaches, preprocessing of medical data modalities, and effective feature extraction in large datasets.
- Convey best practices in software development and support their implementation; participate in teaching.
- Technical consulting and further development of team members.
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Our expectations of you
Education
- Completed degree in Computer Science, Software Engineering, Data Engineering, Medical Informatics, System Administration, or a thematically relevant training with corresponding professional experience.
Qualifications
- Good German and English skills (C1 level for one of the two languages or B2 level or willingness to learn it up to at least B2 level for the other language).
- Solid knowledge in the administration and monitoring of Linux systems as well as expertise in processing and storing large datasets, including database technologies as well as efficient and scalable architectures.
- Excellent programming skills in Python as well as familiarity with modern software engineering and DevOps practices (containerization, CI/CD) in HPC or cloud environments.
- A cooperative, solution-oriented mindset with a strong sense of responsibility and the willingness to take responsibility for complex technical systems.
- Interest in / prior knowledge in the areas of neuroimaging data modalities, clinical research processes, biomedical data standards, and open science data principles.
- Enjoyment of close collaboration with an interdisciplinary team of neuroscientists, clinicians, and computer scientists.
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What we offer
- Based on full-time employment (40 hours per week), the minimum monthly salary is EUR 3,776.10 gross (14 times per year, KV classification IVb).
- Stable employer.
- Attractive campus with good transportation links.
- Training and development opportunities.
- Paid lunch break.
- Sports and Exercise (USI).
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Benefits
Food & Drink
Health, Fitness & Fun
Work-Life-Integration
More net
Topics that you deal with on the job
Job Locations
This is your employer
Johannes Kepler Universität
Linz
The Johannes Kepler University of Linz has a world-renowned reputation for excellence, and currently educates over 20,000 students in 60 different fields of study.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Education System
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.7
Culture
4.2Career Growth
3.8Engineering
3.0Workingconditions
4.0
Data Engineer
- Salary
- from 3.776 € Gross/Month
- Location
- Linz
- Working Model
- Onsite
- Diversity
- Open for all genders
